International Display Workshops General Incorporated Association

[3DSAp2-13L] Enhancing Image Quality in Directional Volumetric Displays with Red-Net

*Seigou Takeshita1, Takahashi Nishitsuji2, Naoto Hoshikawa3, Hirotaka Nakayama4, Tomoyoshi Shimobaba1, Tomoyoshi Ito1, Atsushi Shiraki1 (1. Chiba University (Japan), 2. Toho University (Japan), 3. University of Tsukuba (Japan), 4. National Astronomical Observatory (Japan))

volumetric display, deep learning, enhancing image quality

https://doi.org/10.36463/idw.2023.1396

The existing directional volumetric display, which employs threads and a projector, exhibits a significant problem: noise within the displayed image when juxtaposed with the original image. Herein, we harnessed deep learning techniques to expedite the process of enhancing image quality in contrast to conventional methodologies.